English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Connected and automated vehicles (CAVs) provide the most intriguingopportunity to optimize energy consumption and travel time. Several approacheshave been proposed in the literature that allow CAVs to coordinate insituations where there is a potential conflict, for example, in signalizedintersections, merging at roadways and roundabouts, to reduce energyconsumption and optimize traffic flow. In this paper, we consider the problemof coordinating CAVs in a corridor consisting of multiple traffic scenarios. Weformulate a two-level optimization problem in which we maximize trafficthroughput in the upper-level problem, and derive a closed-form analyticalsolution that yields the optimal control input for each CAV, in terms of fuelconsumption, in the low-level problem. We validate the effectiveness of thesolution through simulation under 100% CAVpenetration rate. Fuel consumptionand travel time for the vehicles are significantly reduced compared to abaseline scenario consisting of human-driven vehicles.

Decentralized Optimal Coordination of Connected and Automated Vehicles for Multiple Traffic Scenarios